This paper proposes a distributed fault detection and diagnosis method based on Principal Component Analysis (PCA) in a whole plant monitoring scheme. The method is based on the decomposition of the plant into multipl...
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(纸本)9781467379304
This paper proposes a distributed fault detection and diagnosis method based on Principal Component Analysis (PCA) in a whole plant monitoring scheme. The method is based on the decomposition of the plant into multiple blocks using plant topology. A local PCA based fault detection method is applied in each block and the results are sent to the central node to fuse the information and to detect and diagnose faults in the global plant. This method is compared with the centralized PCA method and some distributed principal component analysis (DPCA) methods in a wastewater treatment plant (WWTP). The objective is to check which of the distributed methods implemented is the best one in terms of detecting faults and minimizing the communication cost between the blocks. Empirical results on the WWTP show that the DPCA method based on local models has very good results.
In this paper, a sequential quadratic programming method is presented for largescale nonlinear and possibly non-convex model predictive control (MPC) optimization problem which is often set up with a separable objecti...
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In this paper, a sequential quadratic programming method is presented for largescale nonlinear and possibly non-convex model predictive control (MPC) optimization problem which is often set up with a separable objective function. By introducing the so-call consensus constraints to separate the couplings among the subsystems. The resulting QP subproblem is formulated in a separable form, which makes it possible to use the existing alternating direction methods, like ADMM, to efficiently compute Newton steps for the overall system in a distributed way. In order to enforce the convergence rate of the distributed computation, a distributed line search with local merit functions is also proposed.
A library in the EcosimPro environment, developed with the objective of providing the tools needed to integrate MicroGrids into multi-domain simulations is presented. Thus, practical simulated components of renewable ...
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Recently the control methods based on disturbance rejection have largely renewed our understanding of automaticcontrol, especially the role of feedforward control. With the renewed understanding, this work presents a...
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The suspension system is composed of several deformable elements such as springs and dampers, which connect the car body to wheels and absorb vibrations generated by road irregularities. The main purpose of suspension...
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A library in the EcosimPro environment, developed with the objective of providing the tools needed to integrate MicroGrids into multi-domain simulations is presented. Thus, practical simulated components of renewable ...
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A library in the EcosimPro environment, developed with the objective of providing the tools needed to integrate MicroGrids into multi-domain simulations is presented. Thus, practical simulated components of renewable energy sources (photovoltaic arrays, wind turbines), diesel generators, power electronic interfaces (DC/AC or AC/DC/AC), energy storage devices (batteries) are developed, in order to integrate them with the existing libraries of loads (such as electrical systems, hydraulic systems, chemical engineering process, etc). Components in the library are designed so they can be parametrized from data sheet information by general engineers, and then graphically connected to simulate under variable conditions specific real-life Microgrids. With this, different configurations and control strategies for Microgrids can be tested when operating on the real process. After presenting the main ideas behind the dynamic modelling of the components, the application to a case study is presented.
Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques...
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This paper proposes a new surface recognition method by a robot. Nowadays, demands for 'Real World Haptics' are increasing. Tactile sensation which is acquired by rubbing motion is important for haptics. There...
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In real life applications, two wheeled robots are considered to carry payloads of different sizes at different positions or different motion speeds along the vertical axis. Such parameters will have an impact on the r...
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In real life applications, two wheeled robots are considered to carry payloads of different sizes at different positions or different motion speeds along the vertical axis. Such parameters will have an impact on the robot stability and the control mechanism, hence their detailed study is essential for robust performance of the system. This paper investigates the impact of the dynamical change of the payload position on the system damping characteristics while the robot is in its balancing state.
In this work, a new approach based on spiral dynamic algorithm (SDA) is implemented to optimize the input output of fuzzy scaling factors of a stair ascending operation using a wheelchair. The ascending task is done a...
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In this work, a new approach based on spiral dynamic algorithm (SDA) is implemented to optimize the input output of fuzzy scaling factors of a stair ascending operation using a wheelchair. The ascending task is done automatically using interchangeable phases control structure using modular fuzzy logic (IPFL). The value obtained from the SDA optimization is compared with heuristic gain value to access the performance of the stair climbing operation. The proposed approach has improved the climbing performance in terms of minimizing the error of seat/tilt angle for user's comfort while reducing the settling time of the ascending operation.
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